Proposing standardised geographical indicators of physical access to emergency obstetric and newborn care in low-income and middle-income countries. (1st July 2019)

• Record Type: Journal Article
• Authors: Ebener, Steeve; Stenberg, Karin; Brun, Michel; Monet, Jean-Pierre; Ray, Nicolas; Sobel, Howard Lawrence; Roos, Nathalie; Gault, Patrick; Morrissey Conlon, Claudia; Bailey, Patsy; Moran, Allisyn C; Ouedraogo, Leopold; Kitong, Jacqueline F; Ko, Eunyoung; Sanon, Djenaba; Jega, Farouk M; Azogu, Olajumoke; Ouedraogo, Boureima; Osakwe, Chidude; Chimwemwe Chanza, Harriet; Steffen, Mona; Ben Hamadi, Imed; Tib, Hayat; Haj Asaad, Ahmed; Tan Torres, Tessa
• Is Part Of: BMJ global health. Volume 4(2019)Supplement 5
• Publication Date: 2019-07-01
• Subjects: emergency obstetric and newborn care -- physical accessibility -- universal health coverage -- sustainable development goals; World health -- Periodicals; 362.105
• DOI: 10.1136/bmjgh-2018-000778
• Languages: English
• ISSNs: 2059-7908

Abstract

Abstract : Emergency obstetric and newborn care (EmONC) can be life-saving in managing well-known complications during childbirth. However, suboptimal availability, accessibility, quality and utilisation of EmONC services hampered meeting Millennium Development Goal target 5A. Evaluation and modelling tools of health system performance and future potential can help countries to optimise their strategies towards reaching Sustainable Development Goal (SDG) 3: ensure healthy lives and promote well-being for all at all ages. The standard set of indicators for monitoring EmONC has been found useful for assessing quality and utilisation but does not account for travel time required to physically access health services. The increased use of geographical information systems, availability of free geographical modelling tools such as AccessMod and the quality of geographical data provide opportunities to complement the existing EmONC indicators by adding geographically explicit measurements. This paper proposes three additional EmONC indicators to the standard set for monitoring EmONC; two consider physical accessibility and a third addresses referral time from basic to comprehensive EmONC services. We provide examples to illustrate how the AccessMod tool can be used to measure these indicators, analyse service utilisation and propose options for the scaling-up of EmONC services. The additional indicators and analysis methods can supplement traditional EmONC assessments by informing approaches to improve timely access to achieve Universal Health Coverage and reach SDG 3.